December 10, 2012
What's sexy about data science? It has been dubbed the "sexiest occupation" of the 21st century, but you don't see hordes of autograph-seekers and paparazzi flitting around many data scientists. James Kobielus looks at why data science is hot.
December 6, 2012
How are organizations approaching big data? What challenges are they experiencing? What are the commonalities in big data projects across industries and geographies? These questions and more are answered in a podcast with a lead researcher on the report "Analytics: The real-world use of big data."
December 5, 2012
To a communications service provider, tweets and Facebook posts are nothing more than meaningless data flowing across their network, right? WRONG! Savvy communications service providers are using big data to detect qualitative consumer sentiment and gain timely insights about brand, product, services and advertising/media campaigns. These insights can increase revenues, reduce costs and protect the brand, while ensuring that customer data is protected and that the service providers are in compliance with privacy regulations.
December 3, 2012
When thinking of use cases for big data analytics, consider your need for immediacy. Do you have the need to know now, not just the ability to know now? In other words, would you do something differently at that moment if you knew the answer immediately?
November 20, 2012
In Part I of this series, we looked at the key considerations for an analytic enterprise to stay competitive in today’s world, and in
November 15, 2012
I recently returned from Las Vegas where IBM hosted its annual Information On Demand conference with over 12,000 attendees.
November 13, 2012
A Computer Science major, an Information Management major and a Marketing major sit in a classroom in Montana…No, It’s not the beginning of an epic joke; it happens to be a glimpse into the first ever undergraduate IBM InfoSphere Streams course.
November 12, 2012
How can we ensure the quality of big data? Big data, in its constant growth, relies on massive volumes of data that come from inconsistent sources, with ambiguous lineage and uncertain data currency. This has created one of the greatest challenges in today's big data environments.
November 8, 2012
While we eagerly await the first post-election “victory lap” article by Nate Silver – who correctly predicted the outcome of all 50 states in the United State Presidential election Tuesday – I want to share with you several of the top articles that
November 8, 2012
Healthcare organizations are in the eye of an information overload storm. With EHR, EMR and with HIE implementation, there’s tons of data that will be available to payers, care providers and care management companies.